Artificial Intelligence Engineer

KLA • Milpitas, CA

4d

About The Position

The Artificial Intelligence Engineer will support KLA’s LS-SWIFT division, which develops high-throughput patterned wafer inspection systems for advanced semiconductor manufacturing. The division focuses on industry-leading defect detection and cost-effective inspection across applications including advanced packaging, logic, memory, and automotive.

The role involves designing, developing, modifying, and diagnosing complex machine-learning and deep-learning algorithms. The engineer will invent, prototype, and deploy image-processing algorithms and ideas, and will contribute work that advances business priorities. The position calls for hands-on programming and model-development experience, strong communication, and the ability to work independently and as part of a team.

Requirements

• Strong background in one or more of machine learning, deep learning, computer vision, or image processing.
• Familiarity with a common deep-learning framework such as TensorFlow or PyTorch.
• Hands-on experience training ML/AI models deployed in a product.
• Ability to write model architectures from scratch and modify loss functions.
• Hands-on experience with object-oriented and functional programming.
• Excellent written and verbal communication skills.
• Ability to work independently and in a team environment.
• PhD with 0 years of work experience, or a master's degree with 2 years of related work experience, or a bachelor's degree with 4 years of related work experience.

Responsibilities

• Design, develop, modify, and diagnose complex machine-learning and deep-learning algorithms.
• Invent, prototype, and deploy new image-processing algorithms and ideas.
• Train machine-learning and AI models that are deployed in a product.
• Write model architectures from scratch and modify loss functions.

Benefits

• Medical, dental, vision, life, and other voluntary benefits.
• 401(k) with company matching.
• Employee stock purchase program (ESPP).
• Student debt assistance.
• Tuition reimbursement program.
• Development and career growth opportunities and programs.
• Financial planning benefits.
• Wellness benefits, including an employee assistance program (EAP).
• Paid time off and paid company holidays.
• Family care and bonding leave.
• Performance incentive programs may be available.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level